Aniket Shirsat

Master’s student in Applied Data Science at Indiana University Indianapolis with expertise in machine learning, data analysis, and AI-powered solutions. Passionate about leveraging data to solve complex problems and drive meaningful insights.

Featured Projects

🔥 Vessel Fuel Optimization Engine

Enterprise Machine Learning Solution

$1M Annual Savings: Deployed XGBoost and time-series analysis model achieving 5% fuel consumption reduction across 50+ vessels
Advanced ML Pipeline: Built end-to-end predictive analytics system with real-time optimization algorithms
Maritime Industry Impact: Revolutionized fuel efficiency for commercial shipping operations with data-driven insights

Enterprise ML XGBoost Time Series

🤖 AI-Powered PDF Support Chatbot

Intelligent Document Processing

70% Ticket Reduction: Built AI chatbot using OpenAI and LlamaIndex for instant PDF document queries
24/7 Automation: Implemented RAG (Retrieval-Augmented Generation) architecture for context-aware responses
Customer Satisfaction: Enhanced user experience with intelligent document parsing and vector-based retrieval

View Code OpenAI LlamaIndex RAG

⚡ Automated Invoice Processing Suite

AWS Cloud Automation Platform

90% Time Reduction: Built comprehensive automation system using AWS Textract, S3, and SES
Enterprise Integration: Developed AI-powered document processing with real-time notifications
Scalable Architecture: Created end-to-end pipeline from document capture to automated expense management

View Code AWS Textract OCR

🛡️ AWS Computer Vision Security Suite

Multi-Service AI Platform

Content Moderation: Automated inappropriate content detection with confidence scoring using AWS Rekognition
Text Intelligence: Smart text extraction from documents, receipts, and forms with Amazon Rekognition
Platform Safety: Enhanced user-generated content experiences with real-time filtering and analysis

Moderation Text Detection Computer Vision

☁️ AWS Cloud Operations Platform

Enterprise Cloud Infrastructure

Storage Automation: Built comprehensive S3 operations suite for scalable cloud storage management
Email Infrastructure: Engineered mass email automation using AWS SES for marketing campaigns
Cost Optimization: Implemented intelligent data archiving and lifecycle management for enterprise applications

S3 Suite SES Platform AWS Infrastructure

🎯 Advanced ML Prediction Systems

Academic Research Projects

Loan Prediction: 82% accuracy system using ensemble methods (Random Forest, XGBoost) with 40% time reduction
Sentiment Analysis: Real-time Twitter analysis with interactive Streamlit dashboard and 95% user satisfaction
Cultural AI Research: 90% accuracy model for detecting cultural ambiguity in images using advanced NLP techniques

Machine Learning Streamlit Computer Vision

🚀 Impact Summary

$1M+

Annual Savings Generated

70%

Process Automation

50+

Vessels Optimized

90%

AI Model Accuracy

Professional Experience

Research Analyst

Indiana University Indianapolis

January 2025 – Present

Crafted a dataset pipeline for analyzing annotated advertisement images, enhancing data quality by 20%, and improving research efficiency through vision-language models and automated testing frameworks
Engineered a large language model to detect cultural ambiguity in images, achieving 90% accuracy in identifying cultural nuances, by leveraging advanced NLP techniques and cross-validation methods

Senior Data Analyst

Aniket Solutions Pte Ltd

May 2023 – August 2024

Automated invoice importing and two-way matching using Amazon Textract, AWS S3, and AWS SES, reducing manual processing time by 90%, and enhancing operational efficiency through cloud-based automation
Developed a corporate reimbursement app using Flutter and AWS services, improving employee expense management efficiency by 25%, through integration of AI-powered document processing and real-time notifications
Deployed a vessel fuel optimization model using XGBoost and time-series analysis, achieving a 5% reduction in fuel consumption across 50+ vessels, resulting in $1 million annual savings through strategic data-driven insights
Built a customer churn prediction model using Random Forest algorithms, achieving 85% accuracy and reducing customer churn by 5% through targeted retention campaigns and data-driven decision-making

Data Analyst

Capgemini

May 2022 – August 2023

Developed 5 data analytics solutions and 8 BI dashboards in Python and Tableau, reducing reporting time by 30%
Optimized 20+ SQL queries across MS SQL and Oracle databases, improving query performance by 40%
Led data migration for 3 business systems with 99.9% accuracy, reducing validation time by 50%
Created 12 automated visualization reports for financial clients, achieving $200K annual cost savings

Singapore Consulting Analyst

Rochester Institute of Technology

July 2023 – May 2024

Initiated discussions with 10 universities for 2+2 and 2+1 program collaborations, enhancing partnership opportunities by 10%, through strategic networking and relationship-building efforts
Delivered training programs to 50 entrepreneurs, focusing on Circular Entrepreneurship opportunities, improving business sustainability awareness by 70%, by integrating practical case studies and interactive workshops

Supply Chain and Logistics Intern

Frost & Sullivan APAC

January 2021 – May 2021

Analyzed sales data to improve client product lines, resulting in a 15% increase in overall sales through proposed pricing and sales strategies, by conducting market research and competitor analysis
Conducted industry research on emerging technologies, enhancing market intelligence by 30%, through analyzing revenue, investments, sales, and pricing strategies

Business Development Executive

Aniket Solutions Pte Ltd

March 2019 – August 2020

Conducted market research and prepared value propositions for product cross-selling, reducing customer churn from 5.1% to 3.9%, by building strong customer relationships and implementing targeted marketing strategies
Led new prospect pitching and sales processes, achieving an 11% revenue increase within 10 months, through strategic sales planning and effective client engagement
Streamlined customer post-sales support processes, reducing overall costs by 7%, by implementing efficient communication channels and proactive issue resolution

Infantry Trooper / Finance Clerk & Assistant

Singapore Armed Forces

February 2017 – February 2019

Led a team of 5 colleagues in executing a successful mock anti-terrorist operation, enhancing team coordination and tactical efficiency by 70%, through strategic planning and effective communication
Managed financial operations and administrative tasks with precision and accountability in high-pressure military environment

Technical Skills

Programming Languages

Python R Java SQL

Data Analysis Tools

MS SQL Oracle SQL SPSS Dataiku

Data Visualization

Tableau Power BI Plotly Streamlit

Cloud & AI Tools

AWS S3 AWS SES AWS Textract Amazon Rekognition Amazon Bedrock Azure Cloud Azure Databricks GCP Google Document AI OpenAI LlamaIndex RAG

Machine Learning

Scikit-learn XGBoost Random Forest Logistic Regression NLP Computer Vision OCR Time Series Analysis Ensemble Methods

Leadership & Tools

Project Management Team Leadership Strategic Planning

About Me

I’m Aniket Shirsat, a dedicated data analyst and researcher currently pursuing my Master’s in Applied Data Science at Indiana University Indianapolis. My journey in data science began after completing my Master’s in Management from Singapore Management University, and I’ve since developed a passion for leveraging advanced analytics and machine learning to solve complex real-world problems.

Currently working as a Research Assistant at Indiana University, I focus on developing innovative solutions in computer vision and natural language processing. My recent work includes crafting dataset pipelines for analyzing annotated advertisement images and engineering large language models to detect cultural ambiguity with 90% accuracy.

My professional experience spans across consulting, data analysis, and entrepreneurship. I’ve had the privilege of working with Rochester Institute of Technology as a Data Analyst Consultant, where I initiated university partnership discussions and delivered training programs on Circular Entrepreneurship. Through my company, Aniket Solutions Pte Ltd, I’ve developed automated solutions that have saved clients significant time and resources.

I’m particularly passionate about applying machine learning techniques to vessel fuel optimization, having developed models that achieved a 5% reduction in fuel consumption across 50+ vessels, resulting in $1 million annual savings. My technical expertise spans Python, R, SQL, cloud platforms (AWS, Azure, GCP), and various machine learning frameworks.

When I’m not immersed in data, I enjoy leading the Data Science and Machine Learning Club at Indiana University, where I serve as Head of Outreach and Project Committee Lead, helping fellow students develop their skills in this exciting field. I’m also an active member of the Indiana University Jaguars Rowing Club, where I combine my passion for teamwork and athletic excellence with the discipline and strategic thinking that translates well into my data science work.

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